The best way to address performance gotchas is to eliminate them; that's why I opened this issue about global performance: https://github.com/JuliaLang/julia/issues/8870. Despite its already-good performance, Julia actually has barely scratched the surface of the kinds of optimizations you can do to make dynamic languages run fast.
On Wed, Sep 16, 2015 at 10:31 AM, ivo welch <[email protected]> wrote: > > > On Wednesday, September 16, 2015 at 1:48:58 AM UTC-7, Sisyphuss wrote: >> >> I think what you need is something like code checker. You can check the >> package Lint.jl. This is an on-going work, so is not perfect yet. >> > > it is not primarily for me, though good compiler warnings are always > welcome. I already know where to look now (and I even remember some > pitfalls). it is for novices coming to julia, who are unsuspecting. > > glad to hear that the julia team is already has some of it already in the > plan for the future. > >
